Abstract
Work in Bayesian student modelling is described, which draws on extensive analyses of the way that students think about the decimal numeration system. The model will form the basis of an adaptive tutoring system. We present an initial model and discuss issues arising.
Cite
CITATION STYLE
APA
Dettmann, E., Nicholson, A., Sonenberg, L., Stacey, K., & Steinle, V. (1999). Bayesian reasoning for diagnosing student misconceptions about decimals (Extended summary). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1747, pp. 486–487). Springer Verlag. https://doi.org/10.1007/3-540-46695-9_49
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